About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. 

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

Our next Senior Data Platform Engineer will contribute their expertise in building and maintaining high quality, monitored data pipelines which draw from a broad variety of business sources. This IC role will work to define and deliver new products and improvements within Tala’s Data Platform team, participating in collaborative design discussions and delivering well-tested, performant solutions which are reliable and trusted by the senior engineering staff. The Senior Data Platform Engineer will proactively identify and address potential barriers to success, both individually and for the team, and take ownership of their solutions. 

Competencies

• 4+ years experience working on backend software using modern languages and frameworks (Java, Scala, Python, GoLang)
• 4+ years of engineering experience relating to data engineering and large-scale data transformationsStrong database experience, both relational and non-relational (MySQL, PostgreSQL, Cassandra, HDFS)
• Strong hands-on experience in cloud computing (AWS, EC2, S3, RDS, ELB, GCP, Azure)
• Experience with batch and real-time processing data (Kafka, Airflow)
• Working knowledge in API development for mobile/web useExcellent ability to prioritize and communication in a fast paced environment 
• Prefer expert proficiency in Agile development process
• Prefer advanced degree in Computer Science and/or Math

Outcomes

• Solve medium to complex problems in the capture, storage, and delivery of business data to Data Science, Business Intelligence, and other client teams.
• Proactively identify issues in key areas of our platform and raise these issues within the team, involving QA, Product, and Business teams appropriately.
• Discuss project goals with Product and Engineering leads to fully grasp the context of each fix or feature and capably participate in product/project definition discussions.
• Consistently set time expectations and meet sprint goals without sacrificing quality of code.
• Participate in the planning process by helping to identify dependencies and technical debt priorities.
• Participate in code/design reviews and approve pull requests, with an eye for code quality, maintainability, test coverage, and good design.

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.